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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 20760
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    INDEX
    Explanations

    words related to significance, importance, or influence

    oai_token-act-pair · gpt-3.5-turbo

    references to the consequences or significance of various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bows
    -0.81
    fighters
    -0.73
    few
    -0.71
    cop
    -0.71
    bow
    -0.71
    gio
    -0.70
    bug
    -0.69
    vez
    -0.69
    bones
    -0.68
    Interstitial
    -0.67
    POSITIVE LOGITS
     implications
    1.03
     ramifications
    0.96
    romeda
    0.89
     repercussions
    0.77
    notation
    0.76
     fallout
    0.76
    uality
    0.75
     consequential
    0.75
    earable
    0.74
     impact
    0.74
    Activations Density 0.039%

    No Known Activations